21 research outputs found
Optimization of the Groundwater Remediation Process Using a Coupled Genetic Algorithm-Finite Difference Method
In situ chemical oxidation using permanganate as an oxidant is a remediation technique
often used to treat contaminated groundwater. In this paper, groundwater flow with a full hydraulic
conductivity tensor and remediation process through in situ chemical oxidation are simulated.
The numerical approach was verified with a physical sandbox experiment and analytical solution for
2D advection-diffusion with a first-order decay rate constant. The numerical results were in good
agreement with the results of physical sandbox model and the analytical solution. The developed
model was applied to two different studies, using multi-objective genetic algorithm to optimise
remediation design. In order to reach the optimised design, three objectives considering three
constraints were defined. The time to reach the desired concentration and remediation cost regarding
the number of required oxidant sources in the optimised design was less than any arbitrary design